skill and knowledge, S Satisfactory/Functional skills and knowledge, B Basic skills andknowledge, or N No skills or knowledge. In fact, the new scale is more successful in producingdifferentiated responses. Administering the survey each spring, with the assistance of the faculty Page 11.1166.6in senior level courses, ensures a good return rate.The ACI reviewed the instrument of this example relative to the criteria proposed by theNCHEMS. They determined that it satisfied at least two of the criteria that support use of selfreports of academic development. The outcomes measured by the instrument are broad basedoutcomes and the measures represent
. Page 11.502.1© American Society for Engineering Education, 2006 Dynamic 3D Visualization of Stress TensorsAbstractSophomore and junior engineering students in majors such as mechanical, aerospace, civil, andmaterials engineering learn about the concept of the “state-of-stress” at a point within an object.Many engineering students have some difficulty in thoroughly grasping this concept, especiallythe more mathematical and visual aspects. To date, the best method we have for visualizing thestate-of-stress has been to use Mohr’s circle(s), named after the famous 19th century Germancivil engineer, Christian Otto Mohr. Mohr’s circle applies to the case where rotations of adifferential cube about a principal direction (only) are
Page 11.1358.1© American Society for Engineering Education, 2006 Undergraduate Curriculum Reform in Civil Engineering by Integrating Service-Learning ProjectsAbstractAt the University of Massachusetts Lowell (UML), the goal in the Francis College ofEngineering (CoE) is to integrate service-learning into a broad array of courses so that studentswill be exposed to service-learning every semester in the core curriculum in every program in theentire CoE, an initiative supported by NSF through the Department Level Reform Program. Thispaper presents the strategy in the Department of Civil & Environmental Engineering (CEE) ofidentifying and implementing S-L projects as a first step towards undergraduate
( x, 0 ) = 0, ( x, Y ) = f y =Y ( x, t ) ∂y ∂yWith Fint erior ( x, y; s ) and Fy =Y ( x; s ) denoting the Laplace transforms of f int erior ( x, y, t ) and f y =Y ( x, t ) , respectively, USFKAD expresses the Laplace-transformed solution asΨ = Ψ1 + Ψ 2Ψ1 = ∑ κ sin κ x x cosh κ x2 + sy A ( s; κ x ) x Page 11.188.7 π 2π 3πwith κx = , , ,... X X X 2A ( s; κ x ) = ∫ 0X dx sin κ x x M
developed that willcontinue to fuel this growth? Science and engineering (S&E) enrollments have remainedrelatively stagnant for the past 20 years. If this trend continues, what will happen to theeconomy? The authors recognize the need to increase overall enrollments in S&E fields, and theopportunity to increase enrollments by attracting and retaining students from underrepresenteddemographic population groups. Women represent over half the nation’s population and nearlyhalf of the undergraduate enrollment, yet are dramatically underrepresented in the technical andacademic community. Increasing participation of underrepresented groups in S&E will not onlyincrease the available technical workforce, but will also interject ideas and
school with advanced placement credits in mathematics to take additional mathematicscourses beyond the courses required for their major.Creating courses and tracts of interestOver the past few years the Rose-Hulman Mathematics Department has made several changes toencourage students to take upper level mathematics courses. One of the major changes was tochange the courses required to get a degree in mathematics. Until the late 1900’s Rose had onlyone tract for a degree or major in mathematics. We have now split this into four different tracts.Our first tract is for the traditional mathematics major who wants to go to graduate school andearn and masters degree or doctorate in mathematics. This tract is not a tract that would interestmost
., Magleby, S. P, Sorensen, C. D., Swan, B. R., & Anthony, A. R. (1995). A survey of capstone engineering courses in North America. Journal of Engineering Education, 165-174. 2. McKenzie, L., Trevisan, M., Davis, D., & Beyerlein, S. (2004). Capstone design courses and assessment: A national study. Paper presented at the American Society for Engineering Education Annual Conference. 3. National Research Council. (2001). Knowing what students know: The science and design of educational assessment. Washington, DC: The National Academies Press. 4. Campbell, S., & Colbeck, C. L. (1997). Teaching and assessing engineering design: A review of the research. Paper presented at the American Society for
determined how piston displacement depends on crankangle in a single-cylinder internal combustion engine and compared their results to a theoreticalequation. A schematic of a piston, connecting rod and crank is shown in Figure 2. Assumingthat the crank and connecting rod have perfect pin connections, it can be shown by trigonometrythat the distance between the crank axis and the piston pin axis (s) is given by s = a cos + (L2 – a2 sin2 )1/2 (1)when the connecting rod length (L) and the crank radius (a) are known. These values, and thedistance from the piston pin axis to the top of the piston (x), are measured by the laboratoryinstructor and given to the students before lab. Figure 2
shown in the following table as afunction of time. Page 11.667.7Table 1. Particle experimental values of position versus time for Example 1. Time t (s) Position s (m) 0 2 1 5 2 9 3 5 4 -1Students are supposed to calculate the scalar displacement between the instants t = 1 s and t= 4 s. Students who try to solve this very
. Taking thetransform of both sides of equation (2) and solving for the transform of x(t), we obtain X ( s ) = W ( s ) F ( s ) + W ( s ) mx′ ( 0 ) + ( ms + c ) x ( 0 ) (3)Here X(s) denotes the transform of the response x(t), F(s) denotes the transform of the input f(t), 1and W ( s ) = 2 denotes the so-called transfer function. Clearly, W(s) depends only on ms + cs + kthe system parameters, F(s) depends only on the input, and the term in brackets depends on thesystem parameters and the initial state of the system. Thus, the representation of the systemresponse given by equation (3) makes it easy to distinguish between the effects of systemparameters, input, and initial
. Fromabsorbance data, students can evaluate the effectiveness of removal of the contaminant underpredetermined conditions (i.e. contaminant concentration, water superficial velocity).The procedure for running the experiment is: (a) open a browser to the server’s IP address; (b)download the “Labview” runtime (automatically prompted for download and installed if it is notalready installed on the user’s computer); (c) rinse the contaminant from the media with a diluteacid solution (~10% HCl) for about 30 s by pushing the “acid rinse” pump toggle switch toinitiate the acid rinse, and pushing it again to stop; (d) flush the acid from the media by flowingclean rinse water (purified water) through the column for 2 min by using the “rinse water” pumptoggle
. Jargon Thermodynamic Meaning Term Adiabatic No heat transfer, Q = 0 Aergonic No work transport,iii W = 0 Isothermal Constant temperature, T = constant Isochoric Constant volume, V = constant Isobaric Constant pressure, p = constant Isenthalpic Constant enthalpy, h = constant Isentropic Constant entropy, s = constant Polytropic Many processes, or pvk = constant Enthalpy Internal energy plus the pressure
history plus the Laplace Algorithm exercise.The optimization problem is now finding a node el ∈ F(ek ) such that the probability of passing Page 11.349.7the exam successfully is maximal for the given audience U . If we model the event of passing theexam as a random event S, we therefore need to maximize P(S|U ∩ Φl ): we need to maximize theprobability for S under the condition that the user is part of audience U and has visited the coursenodes in Φ followed by node el . Using Bayes’ formula12 , one finds P(Φl |U ∩ S)P(U ∩ S) maxargl P(S|Φl ∩U ) = maxargl
professional is based onobserving and understanding common behaviors and activities and seeing ourselvesactually creating work within those patterns.Perhaps the rhetorical challenge for an engineering student in a design course comes intwo parts. Assuming that s/he can reach the point of assembling rational design choices,s/he then must understand the quantitative (and perhaps qualitative) criteria in order tomake a final design choice. The first part of the challenge may be assembling theevidence for this choice and being able to argue for it. But the second and less easilydiscerned challenge is knowing which methods of proof are valid and which may not bequite as persuasive. “Claims are seen to be grounded through the process of argument---relating
finished products. The biorefineryconcept is gaining popularity as a model that will maximize the value of biomass resources in the Page 11.278.3U. S. Biorefineries will revolutionize the utilization of the nation’s vast renewable supply of Figure 1. Major concepts associated with biorefineries. Page 11.278.4Figure 2. Major processes and material flows for an example biorefinery.biomass resources. Biorefineries provide two main advantages to production: they will increasethe productive utilization of feedstocks and increase returns to scale as additional products
, entrepreneurship,and project management instruction once per week. Moreover, computer science studentsreceived introductory instruction in finance and project management in their additional classhour. The teaching was supported by nine mentors/advisors from computer-related and financeindustries that facilitated the entrepreneurial component of the course. These mentors/advisorssometimes served as guest lecturers. The 28 students (twenty-six were registered) in the coursewere grouped into seven E-teams labeled E-team #’s 1-7. Five of the E-teams (E-team #’s 1-5)were deliberately designed by the professors within the first two weeks of the semester usingstudent information obtained from a professor designed questionnaire and a multipleintelligences
2006-1171: INCREASING PRODUCTIVITY AND AVOIDING CIRCUITSIMULATION ERRORS IN MULTISIMJohn Hackworth, Old Dominion University John R. Hackworth is Program Director for the Electrical Engineering Technology program at Old Dominion University. He holds a B. S. Degree in Electrical Engineering Technology and a Master of Science Degree in Electrical Engineering, both from Old Dominion University. Prior to joining the Old Dominion University faculty, John had approximately 20 years of industrial experience in test engineering and plant automation. He is the principal co-author of the text Programmable Logic Controllers: Programming Methods and Applications, published by Prentice-Hall.Richard Jones
challenges do managers/administrators face in placing Asian Indian scientistsand engineers in decision-making roles within their organizations? Other aspects of the study arereported in the book titled Harbingers of Global Change: India’s Techno-Immigrants in theUnited States, scheduled for printing at the end of March, 2006.15Asian Indians were selected for the study for two primary reasons. First, they are increasinglypresent in the science and engineering (S&E) workforce of the United States. In 1999, out of 1.5 Page 11.317.2million foreign-born S&E degree-holders in the United States, 14% were from India, followedby 10% from China, and 5
, S. Das, S. A. Yost, ”Team-Oriented, Project-Based Instruction in a New Mechatronics Course,” Proceedings of the IEEE/ASEE Frontiers in Education Conference, San Juan, Puerto Rico, Nov. 1999, pp. 13d4/1-13d4/6.2. S. Das, S. A. Yost, M. Krishnan, ”Effective Use of Web-Based Communication Tools in a Team -Oriented, Project-Based, Multidisciplinary Course,” Proceedings of the IEEE/ASEE Frontiers in Education Conference, San Juan, Puerto Rico, Nov. 1999, pp.13a2/14-13a2/17.3. S. A. Yost, M. Krishnan, S. Das, “Mechatronics: A Comprehensive, Interdisciplinary Curriculum Development Initiative,” Proceedings of the IEEE/ASEE Frontiers in Education Conference, San Juan, Puerto Rico, Nov. 1999, pp. 13a1/1-13a1/1.4. L
, plot the unit step response of thesystem for any point selected on the root locus, and turn on/off the grid. The system must berepresented by the transfer function in the following form:Y(s) ams m + am-1 sm -1 ... + a1s + a0s—— = ————————————U(s) bnsn + bn-1s n-1 + ... + b1s + b0s:The options in Design module allow the user to select any desired value for the gain, time andfrequency parameters of the system to see how the closed—loop poles will be affected.The time-domain design parameters that can be changed are rise time, delay time, time constant,settling time, maximum overshoot, peak time, damping factor, natural undamped frequency, anddamped frequency. The frequency-domain design parameters that are included in the programand can be
futurecurriculum renewal projectsAcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.EEC-0530638. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.Bibliography1. Thompson, T., Flick, L, Gummer, E., and Fiez, T. (2004). Enhancing Campus Collaborations Through Design Research in Engineering Education Reform. Proceedings, ASEE Annual Conference and Exposition, Retrieved from http://www.asee.org/acPapers/code/getPaper.cfm?paperID=7942, 6 December 20052. Fisher, P. D., Fairweather, J. S., and Amey, M. (2001). Systemic Reform in Undergraduate Engineering
. • Develop and apply engineering solutions, while being cognizant of local geography, aspirations and cultures. • Create engineering solutions beyond current or dominant technologies; improve, innovate and invent (technologies) to achieve sustainability. • Actively engage communities and stakeholders in development of engineering solutions.Educational Approach The traditional and probably most common method of introducing aspects of greenengineering has been through a senior and graduate level elective course on environmentalengineering, with an emphasis on process treatment. Courses were developed that focus onmethods to minimize or prevent waste streams from existing chemical plants in the 1990’s. Theeducational
universities.Whereas the nation has developed an excellent system of graduate education for basic researchduring the 1960’s, 70’s, 80’s, and 90’s, it has not placed an equal emphasis on professionallyoriented graduate education to continue the professional development of our nation’s engineeringgraduates who enter engineering practice in industry. As a consequence, America’s primaryengineering resource for creative technological development and innovation in industry has notbeen fully developed to its potential during the last three decades.If we are to develop professionally oriented curriculum that is more aligned to the needs of theU.S. engineering workforce in industry, in order to ensure the nation’s competitiveness forworld-class technology development
information is provided: • All pipe sizes and materials • Flow rates coming in or out at points A and B, as shown in the figure Qa = 4 ft3/s A 2 C Q2 Q1 Q3 1 3 B Qb=1 ft3/s Page 11.1386.2 Figure 1. Analysis of a Simple NetworkThe problem has three unknowns, and to solve for them, three independent equations are
193 175 150 132 125 112 S tu d e n ts 100 75 63 50 47 25 12 0 00 01 02 03 04 05 20
-sketched drawings. Theinstructor can use these tools effectively to generate and discuss the correct solutions for theassigned exercises to better guide the students in developing solutions for other problems. Thisapproach to teaching an Engineering Graphics course can be used along-side other traditionalinstructional techniques to further enhance the students’ performance in the course. Page 11.583.10Bibliography1. Navaee, S., “Use of WebCT in Delivering Instructions in Engineering,” Proceedings of the ASEE Annual Conference, Albuquerque, New Mexico, 2001.2. Navaee, S., Das, N.K., “Utilization of MATLAB in Structural Analysis,” Proceedings of the
criteria are deemed a necessary aspect in educating the “Engineer of 2020.”2Our interdependent global society requires engineering skills to address issues related to health,security, and the environment, as well as international commerce.3As a major RAND research study concluded in the 1990’s, both universities and corporationsnow believe that students must understand the global nature of economics, speak otherlanguages, and be able to assess decisions in more than one culture. The research resultssuggested that universities must do more than “tinker with the edges of the curriculum.” Acomprehensive approach is needed, and relevant work experiences should be a primecomponent.4Work abroad experiences allow students to prepare for the global
: Building Value and Cost Leadership, Free Press, New York, NY, 1997.2. Sanderson, S. W. and Uzumeri, M., Managing Product Families, Irwin, Chicago, IL, 1997.3. Bremmer, R., "Cutting-Edge Platforms," Financial Times Automotive World, June 1999, pp. 30-38.4. Simpson, T. W., "Product Platform Design and Customization: Status and Promise," Artificial Intelligence for Engineering Design, Analysis and Manufacturing, Vol. 18, No. 1, 2004, pp. 3-20.5. Shooter, S. B., Simpson, T. W., Kumara, S. R. T., Stone, R. B. and Terpenny, J. P., "Toward an Information Management Infrastructure for Product Family Planning and Platform Customization," ASME Design Engineering Technical Conferences - Design Automation Conference (Chen, W
. Some of these include engineering and design,production and operations, research and development, quality management and improvement,information technology, marketing and sales, management, human resources, and evenworkplace safety and health. Thus, bio-based industries are very germane to engineering andtechnology disciplines. Bio-based operations require skill sets similar to traditionalmanufacturing settings, but also have a need for additional knowledge in biological sciences,which can vary according to the specific product(s) produced at a given facility (i.e., energy,fuels, chemical, or products). For example, equipment, processes, and unit operations must bedesigned; these systems must be optimized, modeled, and simulated; and
evaluate the field trips. Results ofquestion 4 are shown in Figure 2. FU SE - Sum m er 2004 F IE L D T R IP E V A L U A T IO N F O R M F ie ld T r ip t o :_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ D a te: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 1. T h e m o s t im p o r ta n t th in g I le a r n e d fr o m p a r tic ip a tin g in th is fie ld tr ip w a s :_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 2. T h is fie ld tr ip c a n b e im p r o v e d if_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 3. D id th is fie ld tr